Text Classification
Transformers
Safetensors
PyTorch
bert
multimodal
Eval Results (legacy)
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("user-agent/BERT-taxonomy-text")
model = AutoModelForSequenceClassification.from_pretrained("user-agent/BERT-taxonomy-text")Quick Links
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Evaluation results
- Weighted F1 Scoreself-reported0.880
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="user-agent/BERT-taxonomy-text")